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Source channel @githubtrending · Post #15385 · Jan 2

#python#deep_learning#inference#openai#quantization#speech_recognition#speech_to_text#transformer#whisper Faster-Whisper is a fast version of OpenAI's Whisper that transcribes audio up to 4x quicker with the same accuracy, using less memory on CPU or GPU—benchmarks show it beats original Whisper (e.g., 1m03s vs 2m23s for 13-min audio on GPU). Install via `pip install faster-whisper`, no FFmpeg needed, and use simple Python code like `WhisperModel("large-v3").transcribe("audio.mp3")` for segments with timestamps. You benefit by getting quick, efficient speech-to-text for real-time apps, saving time and resources on long files or batches. https://github.com/SYSTRAN/faster-whisper

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💃🌍У танцевальной группы «Цветы Урала» (школа № 10, Екатеринбург) в репертуаре есть «Танец рудокопов Южно-Африканской Республики» — см. видео! 🎥✨ #Культура#Танцы#Екатеринбург#ЮАР#ЦветыУрала _________________________ 💃🌍 The Urals Flowers dance group (School No. 10, Yekaterinburg) performs the Dance of South African Miners — see the video! 🎥✨ #Culture#Dancing#Yekaterinburg#SouthAfrica

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@BarykinaLiubov · Post #1217 · 08/20/2024, 07:07 PM

𝙈𝙖𝙨𝙩𝙚𝙧 𝘾𝙡𝙖𝙨𝙨 𝙤𝙛 𝙖𝙣 𝙞𝙣𝙩𝙚𝙧𝙣𝙖𝙩𝙞𝙤𝙣𝙖𝙡 𝙋𝙧o𝙟𝙚𝙘𝙩 🖤 #ArtInSport 𝘕𝘰𝘷𝘰𝘬𝘶𝘻𝘯𝘦𝘵𝘴𝘬 𝘙𝘶𝘴𝘴𝘪𝘢 16.8.24 #LiubovBarykina #InternationalProject #RhythmicGymnastics #dancing #painting

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